-
1 Comment
Magnum Berhad is currently in a long term downtrend where the price is trading 7.3% below its 200 day moving average.
From a valuation standpoint, the stock is 72.0% cheaper than other stocks from the Other sector with a price to sales ratio of 1.8.
Magnum Berhad's total revenue sank by 25.5% to $486M since the same quarter in the previous year.
Its net income has dropped by 37.0% to $30M since the same quarter in the previous year.
Finally, its free cash flow grew by 4906.0% to $95M since the same quarter in the previous year.
Based on the above factors, Magnum Berhad gets an overall score of 2/5.
ISIN | MYL3859OO005 |
---|---|
Sector | Consumer Cyclical |
Industry | Gambling |
Exchange | KLSE |
CurrencyCode | MYR |
Market Cap | 2B |
---|---|
PE Ratio | 11.09 |
Target Price | 1.4 |
Dividend Yield | 6.1% |
Beta | 0.26 |
Magnum Berhad, an investment holding company, engages in the gaming business in Malaysia. The company operates in two segments, Gaming, and Investment Holdings and Others. The company operates and manages a licensed four-digit numbers forecast betting and its variation games. Its game portfolio includes 4D Classic, 4D Jackpot, 4D Jackpot Gold, and Magnum Life game. It also provides property management services; four-digit agency management services; and management and information technology services. The company was formerly known as Multi-Purpose Holdings Berhad and changed its name to Magnum Berhad in July 2013. Magnum Berhad was founded in 1968 and is based in Kuala Lumpur, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3859.KLSE using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025